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» On sparse signal representations
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SIGMOD
2009
ACM
171views Database» more  SIGMOD 2009»
15 years 10 months ago
GAMPS: compressing multi sensor data by grouping and amplitude scaling
We consider the problem of collectively approximating a set of sensor signals using the least amount of space so that any individual signal can be efficiently reconstructed within...
Sorabh Gandhi, Suman Nath, Subhash Suri, Jie Liu
SI3D
2010
ACM
14 years 10 months ago
Efficient irradiance normal mapping
Irradiance normal mapping is a method to combine two popular techniques, light mapping and normal mapping, and is used in games such as Half-Life 2 or Halo 3. This combination all...
Ralf Habel, Michael Wimmer
IJCV
2007
118views more  IJCV 2007»
14 years 9 months ago
Disambiguating Visual Motion by Form-Motion Interaction - a Computational Model
The neural mechanisms underlying motion segregation and integration still remain unclear to a large extent. Local motion estimates often are ambiguous in the lack of form features,...
Pierre Bayerl, Heiko Neumann
CORR
2011
Springer
151views Education» more  CORR 2011»
14 years 4 months ago
A supervised clustering approach for fMRI-based inference of brain states
We propose a method that combines signals from many brain regions observed in functional Magnetic Resonance Imaging (fMRI) to predict the subject’s behavior during a scanning se...
Vincent Michel, Alexandre Gramfort, Gaël Varo...
JMLR
2010
147views more  JMLR 2010»
14 years 4 months ago
Image Denoising with Kernels Based on Natural Image Relations
A successful class of image denoising methods is based on Bayesian approaches working in wavelet representations. The performance of these methods improves when relations among th...
Valero Laparra, Juan Gutierrez, Gustavo Camps-Vall...